Enhancing Safety and Efficiency with Autonomous Navigation Systems: Integrating Real-Time Object Detection, Tracking, and Trajectory Prediction-Reference-Cited by-同舟云学术

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Enhancing Safety and Efficiency with Autonomous Navigation Systems: Integrating Real-Time Object Detection, Tracking, and Trajectory Prediction

Published:2024-02-28 Issue: Volume: Page:238-241
ISSN:
Container-title:2024 16th International Conference on Knowledge and Smart Technology (KST)
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Author:

Phinphimai Poommin¹,Tantrairatn Suradet²,Ariyarit Atthaphon²,Pichitkul Auraluck²

Affiliation:

1. School of Mechatronics Engineering, Institute of Engineering, Suranaree University of Technology,Nakhon Ratchasima,Thailand

2. School of Mechanical Engineering, Institute of Engineering, Suranaree University of Technology,Nakhon Ratchasima,Thailand

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10499640/10499641/10499659.pdf?arnumber=10499659

Reference14 articles.

1. Moni-toring covid-19 social distancing with person detection and tracking via fine-tuned yolo v3 and deepsort techniques;Punn;arXiv preprint,2020

2. StrongSORT: Make DeepSORT Great Again

3. You Only Look Once: Unified, Real-Time Object Detection

4. UAV-YOLOv8: A Small-Object-Detection Model Based on Improved YOLOv8 for UAV Aerial Photography Scenarios

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